TREC-QA is another popular benchmark [1]} for AS2. We use the same splits of the original data, using the larger provided training set (TRAIN-ALL). This is noisier data, which, on the other hand, gives us more examples for training. We removed questions without answers, or with only correct or only incorrect answer sentence candidates, from the dev. and test sets. This resulted in \(1,229\) , 65 and 68 questions, and \(53,417\) , \(1,117\)  and \(1,442\)  question-answer pairs for training, dev. and test sets, respectively. This setting refers to the Clean setting [2]}, which is a TREC-QA standard.
